A study of data visualization, including principles and techniques. Students will analyze the effectiveness of visualizations, create a wide array of visualizations, and communicate a story through them.
Prerequisite(s): Grade of "C" or better in CMPSC 1500 Program Design and grade of "C" or better in one of the following statistics courses: BUSAD 2100 Business and Economic Statistics, MATH 1300 Statistics, POLSC 2000 Introduction to Political Science Statistics,PSYCH 2100 Psychological Statistics or SOC 2910 Social Statistics.
CMPSC 1500 Program Design (4 hours)
A disciplined approach to the development of programs to solve problems on a computer. Topics include data types, control structures, abstraction, and software development. A lab component introduces a high-level programming language and software tools.
Prerequisite(s): CMPSC 1000 Introduction to Computational Problem Solving or permission of the instructor.
(Normally offered each spring semester.)
BUSAD 2100 Business and Economic Statistics (3 hours)
An introduction to descriptive and inferential statistics. Topics include gathering, organizing, interpreting, and presenting data with emphasis on hypothesis testing as a method for decision making in the fields of business and economics. Procedures include z-tests, t-tests, ANOVAs, correlation, and simple regression.
Cross listed with ECON 2100.
Prerequisite(s): Demonstrated proficiency in high school algebra or permission of the instructor.
(Normally offered each semester.)
MATH 1300 Statistics (3 hours)
An introduction to statistics concepts with an emphasis on applications. Topics include descriptive statistics, discrete and continuous probability distributions, the central limit theorem, confidence intervals, hypothesis testing, and linear regression.
(Normally offered each fall semester.)
Archway Curriculum: Foundational Literacies: Mathematical Problem Solving
POLSC 2000 Introduction to Political Science Statistics (2 hours)
This course introduces students to the statistical analysis techniques that are most common in analyzing social and political data. Students will be introduced to the datasets and software most commonly used in quantitative political science analysis.
Prerequisite(s): Political Science major and POLSC 2300 Introduction To Political Science.
(Normally offered each fall semester.)
PSYCH 2100 Psychological Statistics (4 hours)
An introduction to descriptive and inferential statistics as decision-making guides in psychology and related fields. Topics include organization, analysis, presentation, and interpretation of data with emphasis on the hypothesis testing model of inference. Specific procedures include z-tests, t-tests, analysis of variance, and correlation. A laboratory section is required for computational experience.
Prerequisite(s): PSYCH 1010/PSYCH 1010FYW Introduction to Psychological Science and sophomore standing.
Recommended: College level mathematics course.
(Normally offered each semester.)
SOC 2910 Social Statistics (4 hours)
In this course students are introduced to descriptive and inferential statistics and their applications to sociological research. Statistical procedures include central tendency measures, variability, t-test, one-way ANOVA, correlation, regression, and chi square. The course also includes specific training in using SPSS for analysis.
Prerequisite(s): SOC 1110 Introduction to Sociology.
(Normally offered each spring semester.)
Archway Curriculum: Foundational Literacies: Mathematical Problem Solving
